Full-Time
Senior Reliability Test Engineer
Software Focus
Updated on 3/11/2025
Figure
51-200 employees
Develops versatile humanoid robots for industries
Compensation Overview
$150k - $225kAnnually
Senior
San Jose, CA, USA
5 days/week in-office collaboration required.
- 5+ years of experience in hardware test engineering with focus on software
- Bachelor's degree or higher in electrical engineering, mechanical engineering, computer science, or a related field
- Extensive experience in automation of hardware test setups, data acquisition systems, and data visualization methods for mass production products.
- Proficient in general electrical debugging experience (power supplies, oscilloscope, DMM, etc.)
- Knowledge of standard instrument interface protocols (CAN, ETH, Serial) and experience using these interfaces in automation.
- Experience working with test equipment suppliers to spec and build test setups.
- Develop and implement advanced hardware product test setups tailored to meet critical data acquisition and electrical performance requirements for hardware instruments/devices under test (DUTs).
- Design and write automation software, including instrument drivers (e.g., for power supplies), to enable parallel testing over extended durations using languages and tools such as python.
- Own the calibration and reliability test platforms (gauge R&R), as well as communicate test results with cross functional team
- Collaborate with cross-functional teams to gather test requirements and develop clear, actionable test plans.
- Work alongside with reliability engineers to develop and execute hardware accelerated life reliability tests spec for actuators, batteries, structures, bushings, wirings, sensors and complete system
- Support failure analysis efforts on reliability test failures.
- Create schematics and layout for basic PCB interfaces
- Experience with designing and executing test plans for mobile robots
- Experience with electric motors, gearboxes, or actuators
- Experience with batteries or battery powered system
Figure.ai develops humanoid robots designed for various tasks across multiple industries. Their main product, Figure 01, is a 5'6" tall, 60kg robot that can carry up to 20kg, run for 5 hours, and move at a speed of 1.2 meters per second. It is electric-powered and built to work in human-designed environments like manufacturing plants and warehouses. Unlike many competitors that focus on single-function robots, Figure.ai offers a versatile solution that can adapt to different tasks, making it a cost-effective choice for industrial clients. The company's goal is to enhance operational efficiency and reduce labor costs through automation, as demonstrated by their partnership with BMW Manufacturing to integrate their robots into production lines.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$830.7M
Headquarters
Sunnyvale, California
Founded
2022
Simplify's Take
What believers are saying
- Recent $1.5 billion funding round boosts R&D and market expansion.
- Humanoid robots work collaboratively without verbal communication, showcasing advanced AI.
- Strategic move towards self-reliance in AI development after severing OpenAI ties.
What critics are saying
- Increased competition from AI startups like Together.ai and Lambda.
- Severing ties with OpenAI may impact natural language processing capabilities.
- Crowded AI-powered robot market could dilute Figure's unique value proposition.
What makes Figure unique
- Figure's Helix VLA model enables task performance without specific pre-training.
- Figure 01 combines human agility with advanced AI for versatile industrial applications.
- Figure's dual-system AI architecture bridges semantic understanding and motor control.
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Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -66%2 year growth
↓ -5%Data cloud company Snowflake says it is opening a new Silicon Valley “AI hub.”The new Menlo Park location, announced Thursday (Feb. 27), is designed to give developers, startups and business leaders a place to work on artificial intelligence (AI) efforts.“Our technology is already at the heart of customers’ data and AI strategies, and now, we are taking it a step further by creating a physical space for people shaping the future of AI to connect, learn, and work,” Snowflake CEO Sridhar Ramaswamy said in a news release.“Whether you’re a developer looking for hands-on experience, a startup founder looking for a place to collaborate, or an executive looking to explore the art of the possible, the Silicon Valley AI Hub will serve as the epicenter of AI development and collaboration.”Set to open this summer, the hub will feature spaces designed for people “across the AI ecosystem,” per the release. Executives can collaborate and create partnerships, AI engineers can experiment with new technology, and early-stage startups gain a homebase for their work.Meanwhile, the company, its startup accelerator and its venture capital partner are planning to invest up to $200 million in early stage startups, offering funding as well as technical assistance.Amazon Web Services (AWS), the company said, “has also committed to provide up to $1 million in free Snowflake credits on AWS over four years to support startups building and offering applications on Snowflake’s platform.”Snowflake’s announcement comes on the heels of a report earlier this week that Perplexity AI was creating a $50 million venture fund focused on U.S.-based pre-seed and seed AI startups.The company, itself an AI startup, will invest in the fund, but outside limited partners will provide most of the capital, CNBC reported, citing unnamed sources. Perplexity last year closed a $500 million funding round that tripled its valuation to $9 billion.AI startups have been raising significant amounts of funding lately, with three companies taking in — or preparing to take in — a combined $2.3 billion in the last week.Together.ai, which is building an AI cloud for AI applications using open source models, recently raised $305 million in a Series B round. Cloud AI startup Lambda announced last week that it has raised $480 million to build a hyperscaler cloud for AI developers and end users.And robotics company Figure, backed by OpenAI, Nvidia and Microsoft, is in reportedly talks to raise $1.5 billion in a Series C round.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter
Perplexity AI is reportedly creating a $50 million venture fund focused on U.S.-based pre-seed and seed artificial intelligence (AI) startups. The company, which is an AI startup itself, will be an anchor investor in the fund, but outside limited partners will provide most of the capital, CNBC reported Tuesday (Feb. 25), citing unnamed sources. Reached by PYMNTS, Perplexity declined to comment on the report
Three AI startups have collectively raised $2.3 billion. Figure, a robotics AI startup, is in talks to raise $1.5 billion in a Series C round. Lambda, a cloud AI startup, raised $480 million to build an AI cloud. Together.ai secured $305 million in a Series B round for AI cloud development. Additionally, Latent Labs, founded by a former DeepMind scientist, emerged with $50 million in funding to design proteins using AI. AI recruiting startup Mercor raised $100 million in a Series B round.
The dream of having robots do household chores inched a little closer to reality last week. Figure, an OpenAI-backed robotics artificial intelligence (AI) startup, showed off humanoid robots that can understand voice commands and can grab objects they had never seen before. In a Figure video, a guy holding a bag of groceries starts unloading eggs, apple, ketchup, cheese, cookies and other items on a counter
Figure AI Inc. yesterday demonstrated the capabilities of its Helix visual-language-action, or VLA, model in a simple household task: putting away the groceries. Initiated with a single prompt from a human, the robots in the company’s video above visually evaluate the scene and then cooperate to identify each object and move the object to a proper location in the kitchen.There were couple of noteworthy takeaways from the video: First, the robots work independently on the items placed in front of them, until it becomes evident that one needs to hand off a few items to a destination within the other’s reach.Second, the robots don’t communicate verbally, but there are noticeable pauses in their interactions where they stare at each other in an uncanny “telepathic” interaction. Figure said the supervisory AI architecture breaks the overall goal into smaller subtasks while controlling each robot independently.This was one of the first times that we’ve seen two humanoids working collaboratively.To finish the requested task, the robots close a drawer, close the refrigerator door, and place a bowl at the side of the counter. These are subtasks that are intuitive to humans, but they weren’t specified in the request. Figure said this demonstrated the completeness of the training actions.In a separate blog article, the company explained the architecture for the supervisory Helix system for the robots in the demo